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Robust Thresholding by Calibration
Wang ZZ(王振洲)
Department机器人学研究室
Conference NameIECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society (IES)
Conference DateOctober 29 - November 1, 2017
Conference PlaceBeijing, China
Author of SourceIEEE Industrial Electronics Society
Source PublicationProceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
PublisherIEEE
Publication PlaceNew York
2017
Pages3328-3332
Indexed ByEI ; CPCI(ISTP)
EI Accession number20182005182444
WOS IDWOS:000427164803050
Contribution Rank1
ISSN1553-572X
ISBN978-1-5386-1127-2
KeywordSegmentation Thresholding Image Processing slope difference distribution
AbstractAlthough image segmentation technology has achieved rapid development, threshold method is still an indispensable part in many practical applications. The most advanced methods do not perform well in the segmentation of many different types of images. Therefore, it is expected that the optimal segmentation method can be obtained for images with different modalities. In this paper, a robust threshold method is proposed to calibrate the parameters to obtain the best accuracy. The proposed threshold method is tested in the composite image and the actual image. The experimental results show that the proposed method is superior to the existing technology.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22056
Collection机器人学研究室
Corresponding AuthorWang ZZ(王振洲)
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, P.R. China
Recommended Citation
GB/T 7714
Wang ZZ. Robust Thresholding by Calibration[C]//IEEE Industrial Electronics Society. New York:IEEE,2017:3328-3332.
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